Dehumidification method and device of energy storage cabinet system, electronic equipment and energy storage cabinet system

Abstract

The invention relates to the technical field of electrical equipment, in particular to a dehumidification method and device of an energy storage cabinet system, electronic equipment and the energy storage cabinet system.The dehumidification method comprises the steps that the environment humidity value detected by each humidity sensor is obtained; calculating temperature gradients between the adjacent humidity sensors according to the obtained multiple environment humidity values to obtain multiple temperature gradients, and selecting a maximum value from the multiple temperature gradients to obtain a maximum gradient value; and when the maximum gradient value is larger than a preset gradient threshold value, the draught fan is started. The humidity gradient reflects the severity of humidity change in unit distance, and by adopting the method, the core area in which the temperature and humidity change is the most severe in the cabinet and the moisture condensation is the most likely to occur can be accurately identified. And once the maximum gradient value exceeds a threshold value, the fan is immediately started for forced ventilation, so that condensation is prevented.

Description

Technical Field

[0001] This invention relates to the field of electrical equipment technology, and specifically to a dehumidification method, device, electronic equipment, and energy storage cabinet system for an energy storage cabinet system. Background Technology

[0002] With the rapid development of renewable energy technologies, energy storage systems are playing an increasingly important role in power systems. Outdoor energy storage cabinets, as crucial carriers of energy storage systems, require strict control of their internal environment, especially humidity. Excessive humidity can lead to corrosion of electrical equipment, decreased insulation performance, and even safety accidents such as short circuits and fires. In outdoor environments with significant temperature variations, condensation is particularly pronounced, posing a serious threat to battery life and system safety. Summary of the Invention

[0003] This invention provides a dehumidification method, device, electronic equipment, and energy storage cabinet system for energy storage cabinet systems, in order to solve the problem of condensation in energy storage cabinet systems.

[0004] In a first aspect, the present invention provides a dehumidification method for an energy storage cabinet system. The energy storage cabinet system is equipped with multiple humidity sensors and a fan. The dehumidification method for the energy storage cabinet system includes the following steps: acquiring the ambient humidity value detected by each humidity sensor; calculating the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values ​​to obtain multiple temperature gradients; selecting the maximum value among the multiple temperature gradients to obtain the maximum gradient value; and turning on the fan when the maximum gradient value is greater than a preset gradient threshold.

[0005] The dehumidification method for an energy storage cabinet system provided by this invention acquires real-time ambient humidity values ​​at multiple points within the cabinet and calculates the humidity gradient between adjacent humidity sensors, using this gradient as a key indicator for assessing condensation risk. The humidity gradient reflects the drastic change in humidity per unit distance; a high gradient area indicates a clear "dry-wet" air interface, where hot and cold air easily converge and reach the dew point, significantly increasing the risk of condensation. By selecting the maximum value from multiple humidity gradients and comparing it with a preset threshold, the core area within the cabinet where temperature and humidity changes are most drastic and condensation is most likely to occur can be accurately identified. Once the maximum gradient value exceeds the threshold, the fan is immediately activated for forced ventilation, effectively breaking up localized heat and humidity stratification, eliminating the "dry-wet" interface, and preventing condensation. This method achieves a dehumidification strategy with on-demand response and precise intervention, significantly improving system response speed, energy efficiency, and long-term operational safety and reliability.

[0006] In some optional implementations, the method for determining the gradient threshold includes: acquiring the relative humidity value and ambient temperature value at the location of each humidity sensor; calculating the dew point temperature value at each location based on the ambient temperature value and relative humidity value belonging to the same location; selecting the maximum value among multiple dew point temperature values ​​corresponding to multiple locations to obtain the highest dew point temperature; selecting the minimum value among multiple ambient humidity values ​​to obtain the lowest air humidity; determining the minimum dew point temperature difference based on the highest dew point temperature and the lowest air humidity; and determining the gradient threshold based on the minimum dew point temperature difference.

[0007] This implementation method acquires temperature and humidity data from each humidity sensor location, calculates the dew point temperature at each point and selects the highest value, while simultaneously selecting the lowest air humidity, thereby determining the minimum dew point temperature difference. Based on this, a gradient threshold is dynamically set. This method fully considers the most unfavorable condensation conditions inside the cabinet, namely the dew point difference between the high-temperature, high-humidity area and the dry area, accurately reflecting the maximum potential condensation risk inside the cabinet. This strategy eliminates the need for additional surface temperature sensors, relying solely on the existing temperature and humidity sensing network to achieve accurate prediction of condensation trends, significantly reducing system hardware costs and installation complexity.

[0008] In some optional implementations, determining the gradient threshold based on the minimum dew point temperature difference includes: obtaining the maximum allowable gradient and the minimum allowable gradient; inputting the minimum dew point temperature difference, the maximum allowable gradient, and the minimum allowable gradient into a preset formula to obtain the gradient threshold; or: obtaining a preset correspondence between temperature difference and gradient value; and using the minimum dew point temperature difference to search in the correspondence between temperature difference and gradient value to obtain the gradient threshold.

[0009] This implementation can dynamically adjust the gradient threshold according to the minimum dew point temperature difference, so that the threshold can adapt to changes in ambient temperature and humidity, ensuring that the risk of condensation can be effectively identified under different climatic conditions, and improving the environmental adaptability of the control strategy.

[0010] In some optional implementations, the dehumidification method of the energy storage cabinet system further includes the following steps: determining whether each ambient humidity value is greater than a preset humidity threshold; when there is an ambient humidity value greater than the humidity threshold, determining the number of ambient humidity values ​​greater than the humidity threshold; and determining the dehumidification method based on the number of ambient humidity values ​​greater than the humidity threshold.

[0011] This implementation method determines whether the humidity at each monitoring point exceeds a preset threshold and determines the dehumidification method based on the number of points exceeding the limit. This achieves a graded response of the dehumidification strategy, which can distinguish between different operating conditions such as localized dampness and overall high humidity. It dynamically adjusts the control logic based on the distribution range of the exceeding area, making the dehumidification operation more targeted and flexible. This avoids over-dehumidification or insufficient response caused by triggering a single threshold, and further improves the system's adaptability and operational efficiency under different environmental changes.

[0012] In some optional implementations, determining the dehumidification method based on the number of ambient humidity values ​​greater than a humidity threshold includes: when the number is less than a preset threshold, controlling the fan to run at a first speed; when the number is greater than or equal to the threshold, controlling the fan to run at a second speed and turning on the dehumidifier, wherein the second speed is greater than the first speed.

[0013] This implementation dynamically adjusts the dehumidification strategy based on the number of humidity sensors exceeding the limit. When there are few areas with excessively high humidity, low-speed ventilation control is used to achieve energy-saving operation; when multiple areas exceed the limit simultaneously, high-speed fans are activated and the dehumidifier is activated in conjunction to enhance dehumidification capacity. This hierarchical control method achieves on-demand response, balances dehumidification efficiency and energy consumption optimization, and improves the system's adaptability and operational economy under different humidity environments.

[0014] In some optional implementations, the dehumidification method of the energy storage cabinet system further includes the following steps: when the quantity is greater than or equal to a quantity threshold, determining the global humidity anomaly index based on the quantity; and determining the operating power of the dehumidifier based on the global humidity anomaly index.

[0015] This implementation calculates a global humidity anomaly index based on the number of humidity sensors exceeding the limit, and dynamically adjusts the dehumidifier's operating power accordingly, achieving a precise match between dehumidification intensity and the humidity load inside the cabinet. This method not only reflects the magnitude of the humidity exceedance range but also adaptively adjusts the equipment output, ensuring dehumidification effectiveness while avoiding energy waste, further enhancing the system's intelligence and energy efficiency.

[0016] Secondly, the present invention also provides a dehumidification device for an energy storage cabinet system. The energy storage cabinet system is equipped with multiple humidity sensors and a fan. The device includes an acquisition module, a maximum gradient value determination module, and a first processing module. The acquisition module is used to acquire the ambient humidity value detected by each humidity sensor. The maximum gradient value determination module is used to calculate the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values, obtain multiple temperature gradients, select the maximum value among the multiple temperature gradients, and obtain the maximum gradient value. The first processing module is used to turn on the fan when the maximum gradient value is greater than a preset gradient threshold.

[0017] Thirdly, the present invention also provides an electronic device, including a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the dehumidification method of the energy storage cabinet system described in the first aspect or any of its corresponding embodiments.

[0018] Fourthly, the present invention also provides an energy storage cabinet system, including an energy storage cabinet body, a plurality of humidity sensors and a fan disposed within the energy storage cabinet body, and an electronic device of the third aspect, the electronic device being communicatively connected to the plurality of humidity sensors and the fan.

[0019] Fifthly, the present invention also provides a computer-readable storage medium storing computer instructions, which are used to cause a computer to perform the dehumidification method of the energy storage cabinet system of the first aspect or any corresponding embodiment described above.

[0020] In a sixth aspect, the present invention also provides a computer program product, including computer instructions for causing a computer to execute the dehumidification method of the energy storage cabinet system described in the first aspect or any corresponding embodiment. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a first flowchart of a dehumidification method for an energy storage cabinet system according to an embodiment of the present invention; Figure 3 This is a second flowchart of a dehumidification method for an energy storage cabinet system according to an embodiment of the present invention; Figure 4 This is a third flowchart of the dehumidification method for an energy storage cabinet system according to an embodiment of the present invention; Figure 5 This is a structural block diagram of the dehumidification device of the energy storage cabinet system according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0026] As an optional application scenario of this invention, such as Figure 1 As shown, the energy storage cabinet system may include at least one terminal device and at least one server. Figure 1 The system is illustrated in the example, which includes a computer 101, a mobile terminal 102, and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0027] Specifically, the terminal device can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0028] Currently, the industry mainly relies on dehumidifiers, primarily dehumidifying air conditioners, to control and regulate humidity in energy storage cabinet systems. Existing dehumidification technologies for energy storage cabinets have the following main shortcomings: 1. Humidity detection lag: Traditional energy storage cabinets typically only have temperature and humidity sensors in a few locations, making it difficult to comprehensively reflect the humidity distribution inside the cabinet and resulting in large detection blind spots. By the time the sensors detect excessive humidity, condensation may have already formed in some areas.

[0029] 2. Low dehumidification efficiency: Conventional dehumidification methods often use fixed-cycle operation or simple threshold control, which fail to make precise adjustments according to the actual humidity distribution requirements, resulting in poor dehumidification effect or energy waste.

[0030] 3. Energy consumption issues: The continuous operation of the dehumidification system significantly increases the auxiliary energy consumption of the energy storage system and reduces the overall energy efficiency, mainly due to the high system energy consumption caused by insufficient regulation capabilities.

[0031] According to an embodiment of the present invention, a dehumidification method for an energy storage cabinet system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] This embodiment provides a dehumidification method for an energy storage cabinet system, which can be used in the aforementioned mobile terminals, such as mobile phones and tablets. Figure 2 This is a flowchart of the first method for dehumidifying an energy storage cabinet system according to an embodiment of the present invention, as follows: Figure 2 As shown, the process includes the following steps: Step S201: Obtain the ambient humidity value detected by each humidity sensor.

[0033] Multiple humidity sensors and fans are installed inside the energy storage cabinet. Specifically, the placement of the humidity sensors follows a principle of critical locations and appropriate density. Critical locations include: near the cabinet door, at the farthest point of the cabinet, above the battery modules, at cable joints, and at the bottom and top of the cabinet. Humidity sensors are placed near the cabinet door because door seals may not be completely intact, allowing humid air from the outside to intrude. Humidity sensors are placed at the farthest point of the cabinet because air circulation is poor in this area, making it prone to humidity accumulation. Above the battery modules, rising hot air can cause uneven humidity distribution, thus requiring close monitoring. Cable joints are critical points for electrical safety; condensation can cause short circuits, necessitating humidity monitoring. Sensors at the bottom and top of the cabinet help monitor the vertical humidity gradient in the air convection path, allowing for an understanding of overall humidity trends. To ensure comprehensive monitoring and adaptability to different installation environments, humidity sensors are installed using various methods, including wall-mounted, rail-mounted, or embedded types. Meanwhile, based on the cabinet size and structural characteristics, the spacing between humidity sensors is usually designed to be 1 to 1.5 meters, and they are densely arranged in the aforementioned key areas to improve the accuracy of humidity monitoring and the reliability of system operation.

[0034] Specifically, based on the simulation results of airflow inside the cabinet, a brushless DC fan can be installed in an appropriate location to form an effective airflow circulation path. For example, the fan can be placed inside the cabinet door of the outdoor energy storage cabinet system, or it can be placed near the dehumidifier.

[0035] Step S202: Calculate the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values ​​to obtain multiple temperature gradients. Select the maximum value among the multiple temperature gradients to obtain the maximum gradient value.

[0036] Humidity gradients reflect the degree of drastic changes in humidity. A high gradient means there is a clear "dry-wet" boundary, and the risk of condensation is extremely high.

[0037] For example, the temperature gradient between adjacent humidity sensors can be calculated using the following formula:

[0038] in, Hij This represents the humidity gradient between sensor i and sensor j; Hi and Hj are the humidity gradients between sensor i and sensor j, respectively. i The humidity value collected by j; dij is the spatial distance between the two sensors.

[0039] Step S203: When the maximum gradient value is greater than the preset gradient threshold, turn on the fan.

[0040] In other words, when the maximum gradient value is greater than the preset gradient threshold, it is determined that there is a risk of condensation in the energy storage cabinet system. Therefore, it is necessary to start the fan to equalize the flow, thereby achieving preventive control.

[0041] The dehumidification method for the energy storage cabinet system provided in this embodiment achieves comprehensive and accurate monitoring of humidity distribution within the cabinet by strategically arranging multiple humidity sensors within the system. These sensors primarily cover key areas prone to moisture accumulation, poor ventilation, or heat and moisture buildup, such as near the cabinet door, cable joints, above battery modules, the far end, bottom, and top of the cabinet. Based on this, by acquiring the ambient humidity values ​​from each sensor and calculating the humidity gradient between adjacent sensors, the method effectively reflects the intensity of humid air migration and the potential risk of condensation caused by temperature differences in different areas within the cabinet. Specifically, by selecting the maximum gradient value from multiple calculated humidity gradients and using it as a criterion, the method can accurately identify the core area where temperature and humidity changes are most drastic and where localized condensation is most likely to occur. When this maximum gradient value exceeds a preset gradient threshold, the fan is immediately activated for forced ventilation, enabling rapid response and proactive intervention in high-risk areas. This embodiment can eliminate localized temperature differences and moisture accumulation before condensation occurs, significantly improving the sensitivity and effectiveness of dehumidification control, avoiding safety hazards such as electrical insulation failure, metal corrosion, and short circuits, thereby ensuring the long-term safe and stable operation of the energy storage cabinet in complex outdoor environments.

[0042] Furthermore, this embodiment employs a dynamic response mechanism based on humidity gradients, ensuring the system only activates the fan when significant uneven humidity and heat distribution or a risk of condensation is detected. This avoids the energy waste caused by prolonged continuous operation of fans or air conditioners in traditional dehumidification methods, significantly reducing auxiliary energy consumption. Compared to fixed-cycle start-stop or global threshold control strategies, this method responds on demand and intervenes in a targeted manner, not only improving the intelligence and precision of control but also effectively extending equipment lifespan and enhancing overall energy efficiency. Therefore, this embodiment, while ensuring safety and reliability, also possesses significant advantages in energy saving and consumption reduction, making it suitable for energy storage system applications with high requirements for operational efficiency and energy economy.

[0043] This embodiment provides a dehumidification method for an energy storage cabinet system, which can be used in the aforementioned mobile terminals, such as mobile phones and tablets. Figure 3 This is a second flowchart of the dehumidification method for an energy storage cabinet system according to an embodiment of the present invention, as follows: Figure 3 As shown, the process includes the following steps: Step S301: Obtain the ambient humidity value detected by each humidity sensor.

[0044] Step S302: Calculate the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values ​​to obtain multiple temperature gradients. Select the maximum value among the multiple temperature gradients to obtain the maximum gradient value.

[0045] Step S303: Obtain the relative humidity and ambient temperature values ​​at the location of each humidity sensor.

[0046] As shown above, humidity sensors are distributed in key locations within the energy storage cabinet, including near the cabinet door, at the farthest end of the cabinet, above the battery modules, at cable joints, and at the bottom and top of the cabinet. The relative humidity value at each location of the humidity sensor refers to the air humidity in the local environment that each humidity sensor collects in real time, expressed as a percentage (%RH), reflecting the degree of humidity at that specific point. This data is the basis for assessing the uniformity of humidity distribution within the cabinet and determining whether there is a risk of local condensation.

[0047] Step S304: Calculate the dew point temperature value for each location based on the ambient temperature and relative humidity values ​​of the same location.

[0048] Specifically, dew point temperature is the critical temperature at which air cools to saturation (i.e., condensation begins) while maintaining constant water vapor content and air pressure. For the local environment where the i-th sensor is located, its dew point temperature T_dp_i can be obtained using the Magnus formula based on the temperature T_i and relative humidity RH_i measured at that location. This method, based on the nonlinear relationship between temperature and humidity, can accurately reflect the actual risk of condensation and is a common technique in current environmental monitoring.

[0049] Step S305: Select the maximum value from the multiple dew point temperature values ​​corresponding to multiple locations to obtain the highest dew point temperature.

[0050] Step S306: Select the minimum value among multiple ambient humidity values ​​to obtain the lowest air humidity.

[0051] Step S307: Determine the minimum dew point temperature difference based on the highest dew point temperature and the lowest air humidity.

[0052] Specifically, the minimum dew point temperature can be calculated using the following formula: ΔT_min = T_min_ambient - T_dp_max Where ΔT_min represents the minimum dew point temperature, T_min_ambient represents the minimum air humidity, and T_dp_max represents the maximum dew point temperature.

[0053] Step S308: Determine the gradient threshold based on the minimum dew point temperature difference.

[0054] In one optional implementation, determining the gradient threshold based on the minimum dew point temperature difference includes: obtaining the maximum allowable gradient and the minimum allowable gradient; and inputting the minimum dew point temperature difference, the maximum allowable gradient, and the minimum allowable gradient into a preset formula to obtain the gradient threshold.

[0055] For example, the default formula is: H_threshold = H_min + ( H_max - H_min) 6 (1 - exp(-k 6 ΔT_min)) in, H_threshold represents the gradient threshold. H_min represents the minimum allowable gradient. H_max represents the maximum allowable gradient, k represents the attenuation coefficient, and ΔT_min represents the minimum dew point temperature difference.

[0056] As can be seen from the preset formula, when ΔT_min is large (low risk), exp(-k 6 ΔT_min) is very small. H_threshold is close to H_max is system-insensitive. When ΔT_min is very small (high risk), exp(-k 6 ΔT_min) is close to 1. H_threshold is close to H_min indicates that the system is highly sensitive.

[0057] In one optional implementation, determining the gradient threshold based on the minimum dew point temperature difference includes: obtaining a preset correspondence between temperature difference and gradient value; and using the minimum dew point temperature difference to search within the correspondence between temperature difference and gradient value to obtain the gradient threshold.

[0058] For example, the correspondence between temperature difference (minimum dew point temperature difference) and gradient value (gradient threshold) is shown in the table below:

[0059] In other words, once the minimum dew point temperature difference ΔT_min is calculated, the gradient threshold can be obtained by looking up a table.

[0060] Step S309: When the maximum gradient value is greater than the preset gradient threshold, turn on the fan.

[0061] The dehumidification method for the energy storage cabinet system provided in this embodiment acquires temperature and humidity data from various humidity sensor locations, calculates the dew point temperature at each point and selects the highest value, while simultaneously selecting the lowest air humidity, thereby determining the minimum dew point temperature difference. Based on this, a gradient threshold is dynamically set. This method fully considers the most unfavorable condensation conditions inside the cabinet—the dew point difference between the high-temperature, high-humidity area and the dry area—and can accurately reflect the maximum potential condensation risk inside the cabinet. This strategy does not require additional surface temperature sensors; it can achieve accurate prediction of condensation trends solely based on the existing temperature and humidity sensor network, significantly reducing system hardware costs and installation complexity. More importantly, the method for determining the gradient threshold has good environmental adaptability: in high-temperature, high-humidity areas, the system can automatically identify higher dew point temperatures and correspondingly lower the gradient threshold to improve response sensitivity; while in dry climate areas, the threshold can be appropriately relaxed to avoid frequent false starts of the fan; for high-energy-density cabinets, which have large internal heat loads and significant temperature differences, this method can dynamically enhance dehumidification intervention, while for low-energy-density cabinets or low-heat scenarios such as communication cabinets, it maintains an energy-saving operation mode. Therefore, this solution achieves adaptive and intelligent condensation risk assessment, balances safety and energy efficiency, is applicable to diverse geographical environments and cabinet structures, and has strong versatility and engineering application value.

[0062] This embodiment provides a dehumidification method for an energy storage cabinet system, which can be used in the aforementioned mobile terminals, such as mobile phones and tablets. Figure 4 This is a third flowchart of the dehumidification method for an energy storage cabinet system according to an embodiment of the present invention, as follows: Figure 4 As shown, the process includes the following steps: Step S401: Obtain the ambient humidity value detected by each humidity sensor.

[0063] Step S402: Calculate the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values ​​to obtain multiple temperature gradients. Select the maximum value among the multiple temperature gradients to obtain the maximum gradient value.

[0064] Step S403: Obtain the relative humidity and ambient temperature values ​​at the location of each humidity sensor.

[0065] Step S404: Calculate the dew point temperature value for each location based on the ambient temperature and relative humidity values ​​of the same location.

[0066] Step S405: Select the maximum value from the multiple dew point temperature values ​​corresponding to multiple locations to obtain the highest dew point temperature.

[0067] Step S406: Select the minimum value among multiple ambient humidity values ​​to obtain the lowest air humidity.

[0068] Step S407: Determine the minimum dew point temperature difference based on the highest dew point temperature and the lowest air humidity.

[0069] Step S408: Determine the gradient threshold based on the minimum dew point temperature difference.

[0070] Step S409: When the maximum gradient value is greater than the preset gradient threshold, turn on the fan.

[0071] Step S410: Determine whether each ambient humidity value is greater than the preset humidity threshold.

[0072] The humidity threshold can be a preset value.

[0073] Step S411: When there is an ambient humidity value greater than the humidity threshold, determine the number of ambient humidity values ​​greater than the humidity threshold.

[0074] Step S412: Determine the dehumidification method based on the number of ambient humidity values ​​that are greater than the humidity threshold.

[0075] In one optional implementation, determining the dehumidification method based on the number of ambient humidity values ​​greater than a humidity threshold includes: when the number is less than a preset threshold, controlling the fan to run at a first speed; when the number is greater than or equal to the threshold, controlling the fan to run at a second speed and turning on the dehumidifier, wherein the second speed is greater than the first speed.

[0076] For example, when there is only one ambient humidity value exceeding the humidity threshold (i.e., single-point humidity exceeds the humidity threshold), the fan is controlled to run at the first speed; when there are multiple ambient humidity values ​​exceeding the humidity threshold (i.e., multiple-point humidity exceeds the humidity threshold), the fan is controlled to run at the second speed and the dehumidifier is turned on, where the second speed is greater than the first speed.

[0077] Furthermore, the dehumidification method of the energy storage cabinet system also includes the following steps: when the quantity is greater than or equal to the quantity threshold, determine the global humidity anomaly index based on the quantity; determine the operating power of the dehumidifier based on the global humidity anomaly index.

[0078] For example, the global humidity anomaly index can be calculated using the following formula:

[0079] Where N is the total number of humidity sensors; I( The function is an indicator function; its value is 1 when the condition is true, and 0 otherwise. Hi ( t ) represents the humidity value collected by the i-th sensor at time t; Hthreshold_base is the humidity threshold; wi is the weight of the i-th sensor, which can be assigned according to the criticality of its location, with sensors in critical locations having higher weights.

[0080] GH(t) is a number between 0 and a certain maximum value, used to measure the degree of overall humidity anomaly.

[0081] This invention addresses the moisture-proofing and dehumidification needs of outdoor energy storage cabinets under complex environmental conditions (especially high humidity environments). Through a distributed temperature and humidity sensor network, a forced convection system, and intelligent control algorithms, it achieves precise monitoring and efficient control of the humidity inside the energy storage cabinet, effectively preventing condensation and ensuring the operational safety and lifespan of the energy storage system. It offers the following beneficial effects: (1) Preventing condensation: Through a distributed sensor network and forced convection, areas with abnormal humidity can be detected early and dealt with in a timely manner, effectively preventing condensation and reducing the risk of electrical failure; (2) Reduce system energy consumption: Compared with continuous operation of the dehumidifier, the on-demand dehumidification mode can reduce system energy consumption by 30%-50%; (3) Extend equipment life: Maintaining a suitable temperature and humidity environment can slow down the aging of battery pack components and extend the service life of the energy storage system; (4) Intelligent Adaptive: The system can adjust its operating parameters according to environmental changes, making it suitable for different climate regions and seasonal changes.

[0082] The dehumidification method for energy storage cabinet systems provided by this invention can be directly integrated into newly manufactured energy storage cabinets or applied to existing energy storage cabinets through modification. This method requires no changes to the main structure and electrical design of existing energy storage cabinets, and system debugging and parameter settings can be easily completed using dedicated software tools, demonstrating high feasibility for implementation.

[0083] This embodiment also provides a dehumidification device for an energy storage cabinet system. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0084] This embodiment provides a dehumidification device for an energy storage cabinet system, such as... Figure 5 As shown, it includes: The acquisition module 501 is used to acquire the ambient humidity value detected by each humidity sensor.

[0085] The maximum gradient value determination module 502 is used to calculate the temperature gradient between adjacent humidity sensors based on the acquired multiple ambient humidity values, obtain multiple temperature gradients, select the maximum value among the multiple temperature gradients, and obtain the maximum gradient value.

[0086] The first processing module 503 is used to turn on the fan when the maximum gradient value is greater than the preset gradient threshold.

[0087] In some optional implementations, the dehumidification device of the energy storage cabinet system further includes a gradient threshold determination module. This gradient threshold determination module is used to: acquire the relative humidity and ambient temperature values ​​at the location of each humidity sensor; calculate the dew point temperature value for each location based on the ambient temperature and relative humidity values ​​belonging to the same location; select the maximum value from multiple dew point temperature values ​​corresponding to multiple locations to obtain the highest dew point temperature; select the minimum value from multiple ambient humidity values ​​to obtain the lowest air humidity; determine the minimum dew point temperature difference based on the highest dew point temperature and the lowest air humidity; and determine the gradient threshold based on the minimum dew point temperature difference.

[0088] In some optional implementations, the gradient threshold determination module is specifically used to: obtain the maximum allowable gradient and the minimum allowable gradient; and input the minimum dew point temperature difference, the maximum allowable gradient, and the minimum allowable gradient into a preset formula to obtain the gradient threshold.

[0089] In some optional implementations, the gradient threshold determination module is specifically used to: obtain a preset correspondence between temperature difference and gradient value; and use the minimum dew point temperature difference to search in the correspondence between temperature difference and gradient value to obtain the gradient threshold.

[0090] In some optional implementations, the dehumidification device of the energy storage cabinet system further includes a second processing module. The second processing module is used to: determine whether each ambient humidity value is greater than a preset humidity threshold; when there are ambient humidity values ​​greater than the humidity threshold, determine the number of ambient humidity values ​​greater than the humidity threshold; and determine the dehumidification method based on the number of ambient humidity values ​​greater than the humidity threshold.

[0091] In some optional implementations, the second processing module is specifically used to: control the fan to run at a first speed when the quantity is less than a preset quantity threshold; and control the fan to run at a second speed and turn on the dehumidifier when the quantity is greater than or equal to the quantity threshold, wherein the second speed is greater than the first speed.

[0092] In some optional implementations, the second processing module is further configured to: determine a global humidity anomaly index based on the quantity when the quantity is greater than or equal to a quantity threshold; and determine the operating power of the dehumidifier based on the global humidity anomaly index.

[0093] The dehumidification device for the energy storage cabinet system provided in this embodiment of the invention can execute the dehumidification method for the energy storage cabinet system provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0094] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0095] The present invention also provides an energy storage cabinet system, including an energy storage cabinet body, and a plurality of humidity sensors, a fan and the aforementioned electronic equipment disposed within the energy storage cabinet body, wherein the electronic equipment is communicatively connected to the plurality of humidity sensors and the fan.

[0096] Furthermore, the energy storage cabinet system also includes a dehumidifier and multiple temperature sensors, which are also communicatively connected to electronic devices. The temperature and humidity sensors are located in the same position and can be integrated into a single temperature and humidity sensor.

[0097] The following is a detailed reference. Figure 6 This diagram illustrates a suitable structural design for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 601, which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) 602 or a program loaded from memory 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for the operation of the electronic device. The processor 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0098] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0099] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a memory 608, or installed from a ROM 602. When the computer program is executed by the processor 601, it performs the functions defined in the dehumidification method of the energy storage cabinet system of the embodiments of the present invention.

[0100] Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0101] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the dehumidification method of the energy storage cabinet system shown in the above embodiments is implemented.

[0102] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0103] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method of dehumidifying an energy storage cabinet system, comprising: The energy storage cabinet system is provided with a plurality of humidity sensors and a fan, and a dehumidification method of the energy storage cabinet system comprises the following steps: Respectively acquire the ambient humidity values detected by each humidity sensor; Calculate the temperature gradient between adjacent humidity sensors according to the acquired ambient humidity values, obtain a plurality of temperature gradients, select the maximum value in the plurality of temperature gradients to obtain a maximum gradient value; When the maximum gradient value is greater than a preset gradient threshold value, the fan is started.

2. The method of claim 1, wherein, The determination method of the gradient threshold value comprises: Respectively acquire the relative humidity values and ambient temperature values of the positions where each humidity sensor is located; Calculate the dew point temperature value of each position according to the ambient temperature value and the relative humidity value of the same position; Select the maximum value in the plurality of dew point temperature values corresponding to the plurality of positions to obtain the highest dew point temperature; Select the minimum value in the plurality of ambient humidity values to obtain the lowest air humidity; Determine the minimum dew point temperature difference according to the highest dew point temperature and the lowest air humidity; Determine the gradient threshold value according to the minimum dew point temperature difference.

3. The method of claim 2, wherein, The determination of the gradient threshold value according to the minimum dew point temperature difference comprises: Acquire the maximum allowed gradient and the minimum allowed gradient; Input the minimum dew point temperature difference, the maximum allowed gradient and the minimum allowed gradient into a preset formula to obtain the gradient threshold value; Or; Acquire a preset correspondence between temperature difference and gradient value; Use the minimum dew point temperature difference to look up the correspondence between temperature difference and gradient value to obtain the gradient threshold value.

4. The method according to any one of claims 1 to 3, characterized in that, Further comprising: Respectively determine whether each ambient humidity value is greater than a preset humidity threshold value; When there is an ambient humidity value greater than the humidity threshold value, determine the number of ambient humidity values greater than the humidity threshold value; Determine the dehumidification mode according to the number of ambient humidity values greater than the humidity threshold value.

5. The method of claim 4, wherein, The determination of the dehumidification mode according to the number of ambient humidity values greater than the humidity threshold value comprises: When the number is less than a preset number threshold value, control the fan to operate at a first speed; When the number is greater than or equal to the number threshold value, control the fan to operate at a second speed and start the dehumidifier, wherein the second speed is greater than the first speed.

6. The method of claim 5, wherein, Further comprising: When the number is greater than or equal to the number threshold value, determine a global humidity anomaly index according to the number; Determine the operating power of the dehumidifier according to the global humidity anomaly index.

7. A dehumidifying device of an energy storage tank system, characterized by, The energy storage cabinet system is provided with a plurality of humidity sensors and a fan, and the device comprises: An acquisition module for respectively acquiring the ambient humidity values detected by each humidity sensor; A maximum gradient value determination module for calculating the temperature gradient between adjacent humidity sensors according to the acquired ambient humidity values, obtaining a plurality of temperature gradients, selecting the maximum value in the plurality of temperature gradients to obtain a maximum gradient value; A first processing module for starting the fan when the maximum gradient value is greater than a preset gradient threshold value.

8. An electronic device, comprising: Comprise: A memory and a processor are connected in communication with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the dehumidification method of the energy storage cabinet system according to any one of claims 1 to 6.

9. An energy storage cabinet system, characterized by, Comprise: An energy storage cabinet body; A plurality of humidity sensors arranged in the energy storage cabinet body; A fan arranged in the energy storage cabinet body; The electronic device of claim 8 is connected in communication with a plurality of the humidity sensors and the fan.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing a computer to execute the dehumidification method of the energy storage cabinet system according to any one of claims 1 to 6.

11. A computer program product, characterised in that, The computer instructions for causing a computer to execute the dehumidification method of the energy storage cabinet system according to any one of claims 1 to 6.

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